/**
 * Copyright 2024 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import { googleAI } from '@genkit-ai/google-genai';
import { z } from 'genkit';
import { HelloFullNameSchema, HelloSchema } from '../common/types.js';
import { ai } from '../genkit.js';

//
// Prompt defined in code, subsequently loaded into a flow, plus an additional variant.
//

const promptName = 'codeDefinedPrompt';
const template = 'Say hello to {{name}} in the voice of a {{persona}}.';

export const codeDefinedPrompt = ai.definePrompt({
  name: promptName,
  model: googleAI.model('gemini-2.5-flash'),
  input: {
    schema: HelloSchema,
  },
  output: {
    format: 'text',
  },
  config: {
    maxOutputTokens: 2048,
    temperature: 0.6,
    topK: 16,
    topP: 0.95,
    stopSequences: ['STAWP!'],
    safetySettings: [
      {
        category: 'HARM_CATEGORY_HATE_SPEECH',
        threshold: 'BLOCK_ONLY_HIGH',
      },
      {
        category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
        threshold: 'BLOCK_ONLY_HIGH',
      },
      {
        category: 'HARM_CATEGORY_HARASSMENT',
        threshold: 'BLOCK_ONLY_HIGH',
      },
      {
        category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
        threshold: 'BLOCK_ONLY_HIGH',
      },
    ],
  },
  prompt: template,
});

export const codeDefinedPromptVariant = ai.definePrompt({
  name: promptName,
  variant: 'jsonOutput',
  model: googleAI.model('gemini-2.5-flash'),
  input: {
    schema: HelloSchema,
  },
  output: {
    schema: z.object({
      greeting: z.string(),
    }),
    format: 'json',
  },
  prompt: template,
});

ai.defineFlow(
  {
    name: 'flowCodeDefinedPrompt',
    inputSchema: HelloSchema,
    outputSchema: z.string(),
  },
  async (input) => {
    const response = await codeDefinedPrompt(input);
    return response.text;
  }
);

//
// Function(al) prompts
//

export const promptFn = ai.definePrompt({
  name: 'functionalPrompt',
  input: {
    schema: HelloSchema,
  },
  model: googleAI.model('gemini-2.5-flash'),
  messages: async (input) => [
    {
      role: 'user',
      content: [
        {
          text: `say hello to ${input.name} in the voice of ${input.persona}`,
        },
      ],
    },
  ],
});

ai.defineFlow(
  {
    name: 'flowFunctionalPrompt',
    inputSchema: HelloSchema,
    outputSchema: z.string(),
  },
  async (input) => {
    const hello = ai.prompt('functionalPrompt');
    return (await hello(input)).text;
  }
);

//
// Dotprompt file - text output
//

ai.defineFlow(
  {
    name: 'flowDotPrompt',
    inputSchema: HelloSchema,
    outputSchema: z.string(),
  },
  async (input) => {
    const hello = ai.prompt('hello');
    return (await hello(input)).text;
  }
);

//
// Dotprompt file - variant, text output
//

ai.defineFlow(
  {
    name: 'flowDotPromptVariant',
    inputSchema: HelloFullNameSchema,
    outputSchema: z.string(),
  },
  async (input) => {
    const hello = ai.prompt('hello', {
      variant: 'first-last-name',
    });
    return (await hello(input)).text;
  }
);

//
// Dotprompt file - json output
//

ai.defineFlow(
  {
    name: 'flowDotPromptJsonOutput',
    inputSchema: HelloSchema,
    outputSchema: z.any(),
  },
  async (input) => {
    const hello = ai.prompt('hello', {
      variant: 'json-output',
    });
    return (await hello(input)).output;
  }
);

//
// Dotprompt file - system message
//

ai.defineFlow(
  {
    name: 'flowDotPromptSystemMessage',
    inputSchema: HelloSchema,
    outputSchema: z.any(),
  },
  async (input) => {
    const hello = ai.prompt('hello', {
      variant: 'system',
    });
    return (await hello(input)).text;
  }
);

//
// Dotprompt file - history
//

ai.defineFlow(
  {
    name: 'flowDotPromptHistory',
    inputSchema: HelloSchema,
    outputSchema: z.any(),
  },
  async (input) => {
    const hello = ai.prompt('hello', {
      variant: 'history',
    });
    return (await hello(input)).text;
  }
);

// TODO(michaeldoyle): showcase advanced capabilities of dotprompts
//   chat, multi-modal, tools, history, etc
